Oncological Outcomes
Oncological Outcomes - Related Videos
11:18
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
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Cited by 5 •
2011
A thoracic oncology database was developed to serve as a comprehensive repository for clinical and laboratory data for the purposes of translational research. The database will serve translational cancer researchers within the Thoracic Oncology Research Program. This database is adaptable to other cancer models, as well as other human diseases.
06:37
Multispectral Real-time Fluorescence Imaging for Intraoperative Detection of the Sentinel Lymph Node in Gynecologic Oncology
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Cited by 41 •
2010
Fluorescence imaging is a promising innovative modality for image-guided surgery in surgical oncology. In this video we describe the technical procedure for detection of the sentinel lymph node using fluorescence imaging as showcased in gynecologic oncologicy. A multispectral fluorescence camera system, together with the fluorescent agent indocyanine green, is applied.
10:07
Using Learning Outcome Measures to assess Doctoral Nursing Education
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Cited by 2 •
2010
The structure and process for measuring student learning outcomes through customizable assessment rubrics is discussed and applied to a doctoral nursing education program.
02:24
Predicting Reaction Outcomes
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2023
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
01:13
Outcomes of Glycolysis
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2019
Nearly all the energy used by cells comes from the bonds that make up complex organic compounds. These organic compounds are broken down into simpler molecules, such as glucose. As a result, cells extract energy from glucose over many chemical reactions—a process called cellular respiration. Cellular respiration can occur aerobically (with oxygen) or anaerobically (without oxygen). In the presence of oxygen, cellular respiration starts with glycolysis and continues with pyruvate oxidation, the...
FAQs
These measures capture different treatment results. Overall survival tracks how long patients remain alive, whereas progression-free survival focuses on the period before the cancer worsens or progresses. Disease-free survival addresses the time without detectable disease after treatment. Selecting among them helps investigators match the outcome measure to the clinical question and follow-up stage being studied.
No single source captures every dimension of cancer care. Clinical findings describe the patient’s condition, pathology characterizes tumor-related features, imaging helps assess disease status, and patient-reported information reflects symptoms or daily functioning. Combining these perspectives supports a more complete assessment of treatment effects than relying on tumor measurements or survival data alone.
The length and timing of follow-up affect which outcomes can be observed. Early assessments may emphasize tumor response or complications, while longer observation can reveal survival patterns, recurrence, disease control, or changes in quality of life. Defining follow-up periods allows researchers to compare outcomes consistently and prevents short-term findings from being interpreted as complete long-term benefit.
Prognostic factors help explain why patients may experience different cancer outcomes, including differences in disease control or survival. Researchers examine these factors alongside clinical, pathological, and imaging data to interpret results more accurately. Identifying relevant patterns can support treatment evaluation and help clinicians use outcome evidence when making decisions for individual patients.
A typical evaluation establishes the outcomes of interest, collects clinical, pathological, imaging, and patient-reported data, and observes participants over a defined follow-up period. Investigators then compare measures such as survival, progression, recurrence, complications, and quality of life. This structured process produces evidence about treatment effectiveness and the balance between benefits and adverse effects.
Patient-reported outcomes add information that may not be fully visible through clinical examination, pathology, imaging, or survival measures. They can describe quality of life and the effect of treatment on daily functioning. Including these reports helps determine whether disease control is accompanied by meaningful patient benefit, rather than judging success solely by tumor-related results.
Outcome analysis is useful when a treatment produces both potential disease-control benefits and treatment-related complications. Researchers and clinicians can examine response, survival, recurrence, adverse effects, and quality of life together instead of relying on one endpoint. This comparison supports decisions about whether the observed clinical benefit justifies the effects experienced during or after treatment.
They provide measurable evidence for judging therapies, recognizing prognostic patterns, and assessing patient experience over time. In research, outcome measures support comparisons between treatments and help evaluate whether a therapy improves disease control or daily functioning. In medicine, the resulting evidence informs clinical decision-making and contributes to developing approaches that improve long-term patient outcomes.